Data Engineer

Data Engineers build and maintain data infrastructure that powers AI and analytics systems. They design data pipelines, manage data warehouses, and ensure data quality and availability for machine learning and business intelligence.

Key Responsibilities: • Build scalable data pipelines (ETL/ELT) • Design and maintain data warehouses • Optimize database performance • Ensure data quality and governance • Implement real-time data streaming • Support ML engineers with feature engineering infrastructure

Required Skills: SQL, Python, Apache Spark, Airflow, Kafka, data warehousing (Snowflake/BigQuery/Redshift), ETL tools, cloud platforms, data modeling, distributed systems, dbt, data quality tools

Career Path: Junior data engineers maintain existing pipelines. Mid-level engineers design new data systems. Senior data engineers architect data platforms. Principal engineers set data infrastructure strategy.

Top Hiring Companies: Netflix, Uber, Airbnb, Spotify, LinkedIn, Meta, Google, Amazon, Snowflake, Databricks, DoorDash, Instacart, Stripe, Coinbase